Songbai Ji

Predictors of Brain Injury: The Performance of Biomechanical Head Acceleration Severity Metrics for Concussion Prediction in Men’s and Women’s Rugby League Players

James Tooby, Cameron Owen, Sarah Whitehead, Sean Scantlebury et autres

Abstract Objective Describe and compare the biomechanical severity of head acceleration events (HAEs) associated with diagnosed concussion in elite men’s and women’s rugby league using instrumented mouthguards (iMGs) and evaluate the diagnostic accuracy and screening performance of severity metrics within the current …

gb, ca, us, ie, Afrique du Sud, au (code pays fourni par la source)

Radiation-Free Real-Time Registration Update for Image-Guided Multi-Level Open Posterior Lumbar Fusion: In Vivo Validation

Ryan B. Duke, Xiaoyao Fan, Steven P. Baltic, William R. Warner et autres

Background: Surgical navigation becomes inaccurate when spinal alignment changes, requiring repeat scan such as O-arm CT to restore accuracy, but this introduces additional radiation exposure, workflow disruption, and delay. We developed and confirmed ex vivo validation of a novel hand-held system (HHS) …

us (code pays fourni par la source)

Estimating Cell Mechanical Anisotropy Via Spherical Indentation and F-Actin Imaging

Juanyong Li, Owen Beaver, Chaokai Zhang, Ian/McCarthy Anderson et autres

Mechanical properties reflect the physiological state of cells, yet commonly reported Young's modulus (Es) does not represent the mechanical anisotropy. In this work, we sought to determine if standard spherical probe indentation, combined with common image-based F-actin alignment quantification, could be used …

us (code pays fourni par la source)

A model of axonal damage accumulation from real-world head impact exposure

Chaokai Zhang, Lyndia Wu, Songbai Ji

us, ca (code pays fourni par la source)

Large-scale modeling of axonal dynamic responses via deep learning

Chaokai Zhang, Adam Clansey, Lara Bartels, Daniel Bondi et autres

us, ca (code pays fourni par la source)

A Shape and Size-Scaled Deep Learning Brain Injury Model for Near Real-Time Dynamic Impact Simulation

Wei Ping Zhao, Songbai Ji

Efficient deep learning brain injury models enable large-scale, strain-based investigations of traumatic brain injury (TBI). Here, we extend a previous model based on a generic 50th percentile adult male brain to a more individualized surrogate (applicable to male, female, and youth) for …

us (code pays fourni par la source)

Publisher Correction: On-field Head Acceleration Exposure Measurement Using Instrumented Mouthguards: Missing Data Imputation for Complete Exposure Analysis

David Luke, Zaryan Masood, Daniel Bondi, Chaokai Zhang et autres

ca, us (code pays fourni par la source)

High-order mesoscale modeling with geometrically conforming gray/white matter interface for traumatic brain injury

Denis Molchanov, Chaokai Zhang, Nan Lin, Songbai Ji et autres

BACKGROUND AND OBJECTIVE: Brain injury models with a supramillimeter resolution are not feasible to provide spatially detailed strains at or below millimeter scales, especially in regions of convoluted geometry such as at the gray/white matter interface. Furthermore, non-conforming mesh boundaries resulting from …

us (code pays fourni par la source)

Toroidal indentation for measuring cell and tissue mechanical anisotropy

Juanyong Li, Chaokai Zhang, J. Chen, Taylor Paradis et autres

Indentation-based mechanical tests are advantageous for measuring tissue and cell stiffness due to their simplicity and ability to probe samples non-destructively. Most commonly, spherical or pyramidal probes are used, and Hertzian analysis is applied to calculate the modulus. This technique assumes material …

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Optimizing foam padding of the advanced combat helmet to maximize protection of blast-induced brain injury and wearing comfort

Chaokai Zhang, Feng Zhu, Wenye He, Songbai Ji

The Advanced combat helmet (ACH) is critical for mitigating the risk of blast-induced traumatic brain injury (bTBI). Helmet foam pads are in continuous contact with the head to provide mechanical support. They are essential for helmet bTBI mitigation effectiveness and wearing comfort. …

us (code pays fourni par la source)

On-field Head Acceleration Exposure Measurement Using Instrumented Mouthguards: Missing Data Imputation for Complete Exposure Analysis

David Luke, Zaryan Masood, Daniel Bondi, Chaokai Zhang et autres

ca, us (code pays fourni par la source)

Optimizing Input Feature Sets Using Catch-22 and Personalization for an Accurate and Reliable Estimation of Continuous, Cuffless Blood Pressure

Rajesh S. Kasbekar, Srinivasan Radhakrishnan, Songbai Ji, Anita Goel et autres

Nocturnal monitoring of continuous, cuffless blood pressure (BP) can unleash a whole new world for the prognostication of cardiovascular and other diseases due to its strong predictive capability. Nevertheless, the lack of an accurate and reliable method, primarily due to confounding variables, …

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